

Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 10+ years of experience in data science, statistical modeling, and data visualization. Contract length and pay rate are unspecified. Key skills include SQL, Python, R, predictive analytics, and exceptional communication.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
840
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ποΈ - Date discovered
August 6, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#Data Science #Scripting #Forecasting #Programming #Regression #ML (Machine Learning) #R #Storytelling #Classification #"ETL (Extract #Transform #Load)" #Clustering #Python #Visualization #SQL (Structured Query Language) #Stories #Data Storytelling #Data Analysis
Role description
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Weβre hiring an experienced Data Scientist with a strong track record of turning complex data into valuable business insights. This role is ideal for professionals with 10+ years in data science, statistical modeling, and data visualization, who are confident presenting findings to both technical and non-technical audiences.
"Please note: The client is specifically seeking candidates who are confident in setting business-focused goals, building advanced models, and effectively communicating insights. They are looking for someone who can go beyond data crunching and drive strategic decisions through analytics."
What Youβll Do
1. Analyze and Explore Data
β’ Conduct in-depth exploratory data analysis (EDA) to uncover patterns, trends, and insights.
β’ Use statistical and quantitative methods to interpret data and drive business understanding.
1. Define Goals & Success Metrics
β’ Work closely with business stakeholders to establish objectives and measurable key results (OKRs).
β’ Create metrics to track progress and performance against those goals.
1. Data Storytelling & Communication
β’ Translate complex data findings into clear, impactful stories for a variety of audiences.
β’ Provide actionable recommendations based on insights, along with expected outcomes.
1. Build Predictive Models
β’ Develop forecasting and machine learning models (regression, classification, clustering, etc.).
β’ Continuously test, improve, and evaluate model performance.
1. Design Visual Insights
β’ Create dynamic dashboards and reports that offer both overview and deep-dive capabilities.
β’ Deliver visuals that are both informative and easy to interpret.
1. Lead Research & Experimentation
β’ Frame and test hypotheses to solve business problems.
β’ Plan and execute research using the right data tools and techniques to validate ideas.
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What Weβre Looking For
β’ 10+ years of hands-on experience solving real-world business problems using data.
β’ Expertise in:
β’ Data querying (e.g., SQL)
β’ Programming/scripting (e.g., Python)
β’ Statistical tools (e.g., R, or equivalent)
β’ Solid grasp of:
β’ Statistical modeling
β’ Predictive analytics
β’ Data storytelling and visualization
β’ Exceptional communication skillsβcapable of explaining technical concepts clearly and persuasively to all types of stakeholders.
If you're a seasoned data scientist who thrives in a results-driven environment and enjoys transforming data into meaningful strategies, we want to hear from you.